LECTURE 5 1. Isotropic Grassmannians in This Section, We

Total Page:16

File Type:pdf, Size:1020Kb

LECTURE 5 1. Isotropic Grassmannians in This Section, We LECTURE 5 1. Isotropic Grassmannians In this section, we discuss the geometry of isotropic Grassmannians. Let V be an n-dimensional complex vector space. Let Q be a non-degenerate quadratic form. The form Q may either be symmetric or skew-symmetric. Since the rank of a skew- symmetric form is always even, in the latter case, we must assume that n is even. There are some differences in the discussion depending on whether Q is symmetric or skew-symmetric. Furthermore, when Q is symmetric, there are slight variations in detail depending on whether n is even or odd. We will now discuss these cases separately. 1.1. Preliminaries on quadrics. Let Q be a smooth quadric hypersurface in n−1 n P . Set m = b 2 c. The largest dimensional linear spaces contained in Q have projective dimension m−1. If n is odd, then the maximal dimensional linear spaces m(m+1) on Q form an irreducible family of dimension 2 : If n is even, then the maximal dimensional linear spaces contained in Q form two isomorphic families of dimension m(m−1) 2 : Two linear spaces belong to the same irreducible component if and only if their dimension of intersection is equal to m − 1 modulo 2 (see [GH] p. 735). More generally, we will be interested in linear spaces on quadric hypersurfaces with singularities. A quadric hypersurface in Pn−1 of corank r (or, equivalently, with a singular locus of dimension r − 1) is the cone over a smooth quadric hy- persurface in Pn−1−r with vertex an (r − 1)-dimensional projective linear space. If Q is a quadric hypersurface of corank r in Pn−1, then the largest dimensional n−r−2 linear space on Q has dimension b 2 c+r: The space of linear spaces of maximal dimension on Q is irreducible if n − r is odd and has two irreducible components if n−r−3 n−r−2 n−r is even. Setting l = 2 in the former case and l = 2 in the latter case, the dimension of each irreducible component of the space of maximal dimensional (l+1)(l+2) l(l+1) linear spaces is 2 and 2 , respectively. In the latter case, two linear spaces belong to the same irreducible component if and only if their dimension of intersection is equal to l + r modulo 2. These claims follow from the previous paragraph since Q is a cone over a smooth quadric hypersurface in Pn−1−r. Notation 1.1. Denote the Fano variety of s-dimensional projective linear spaces n−1 r contained in a quadric hypersurface Q 2 P of corank r by Fs;n(Q). Let Q ⊂ Pn−1 be a quadric hypersurface of corank r. Let s be a positive integer n−r−2 less than or equal to b 2 c + r. Consider the incidence correspondence of pairs of a point p of Q and an s-dimensional linear space containing p: r I = f (x; [Λ]) j x 2 Λ ⊂ Q g ⊂ Q × Fs;n(Q): The automorphism group of Q acts transitively on the smooth points of Q. The s-planes that contain a smooth point p lie in the tangent linear space H at p. Q\H is a quadric hypersurface of corank r +1. The intersection with a hyperplane 1 complementary to p is a quadric hypersurface of corank r and intersects all the s-planes containing p in an (s − 1)-dimensional linear space. We conclude that the space of s-dimensional linear spaces containing p has the same dimension as the space of (s−1)-dimensional linear spaces lying on a quadric hypersurface in Pn−3 of corank r. Therefore, by induction, we can calculate the general fiber dimension of the projection of I to Q and determine the dimension of I. The second projection r maps I onto Fs;n(Q) with fiber dimension s. We thus obtain a recursion relation r for the dimension of Fs;n(Q). A priori we need to check that the s-dimensional linear spaces that intersect the n−r−2 vertex in dimension greater than s − 1 − b 2 c do not form another irreducible r component (potentially of different dimension) of Fs;n(Q). It is easy to see that linear spaces that intersect the vertex in larger than the expected dimension are limits of linear spaces that intersect the vertex in the expected dimension. Observe that every linear space on a quadric is contained in a maximal dimensional linear space. Take a linear space Λ that intersects the vertex in the linear space Ω. Assume that the dimension of Ω is larger than expected. Take a linear space ∆ in n−r−2 Λ complementary to Ω. Take a linear space Γ of dimension b 2 c which contains ∆, but does not intersect the vertex of Q. Since the Grassmannian of s-planes in the span of Γ and Ω is irreducible, the claim follows. n−r−2 In case s < 2 , the space of s-dimensional linear spaces on Q is irreducible. n−r−2 r+1 If s ≥ 2 the recursion stops when we obtain a quadric of rank r in P or Pr with multiplicity 2. The former case occurs if n − r is even and the latter case occurs if n − r is odd. This allows us to calculate the dimensions of the spaces of n−r−2 s-dimensional linear spaces on Q recursively. It also proves that when s ≥ 2 , the spaces of s-dimensional linear spaces on Q is irreducible if n − r is odd and has two components if n − r is even. We have thus proved the following: n−1 n−r−2 Lemma 1.2. Let Q be a quadric hypersurface in P of corank r. If s < 2 , r then Fs;n(Q) is irreducible of dimension 2n − 3s − 4 (s + 1) : 2 n−r−2 r If s ≥ 2 and n − r is even, then Fs;n(Q) has two irreducible components each of dimension n − 2s + r − 2 (n − r − 2) (n − r) (s + 1) + : 2 8 n−r−2 r If s ≥ 2 and n − r is odd, then Fs;n(Q) is irreducible of dimension n − 2s + r − 3 (n − r − 1) (n − r + 1) (s + 1) + : 2 8 1.2. Preliminaries on orthogonal Grassmannians. Let W be an n-dimensional vector space endowed with a non-degenerate, symmetric, bilinear form Q. Set n m = b 2 c. Let 0 < k ≤ m denote a positive integer. Let OG(k; n) denote the k- dimensional subspaces of W isotropic with respect to the form Q, unless n = 2k. In the latter case, the parameter space of k-dimensional isotropic subspaces of W has two isomorphic irreducible components. OG(k; n) denotes one of these irreducible components. The orthogonal Grassmannian OG(k; n) is isomorphic to one irreducible compo- 0 nent of the Fano variety Fk−1;n(Q) of (k − 1)-dimensional projective linear spaces 2 on a smooth quadric hypersurface. The non-degenerate quadratic form Q defines the smooth quadric hypersurface in Pn−1. A linear space is isotropic with respect to Q if and only if its projectivization is contained in the quadric hypersurface defined by Q. In particular, by the discussion in x1.1, the dimension of OG(k; n) is k(2n − 3k − 1) 2 The cohomology of OG(k; n) is generated by the classes of Schubert varieties. There are minor differences in the cohomology of OG(k; n) depending on the parity of n due to the fact that when n is even, the half-dimensional isotropic subspaces form two connected components. For even n, the notation has to distinguish be- tween these two connected components. For simplicity, we will first discuss the case of odd n, then describe the necessary modifications for even n. We begin by describing the Schubert varieties in OG(k; 2m + 1). Let λ denote a sequence m ≥ λ1 > λ2 > ··· > λs > 0 of strictly decreasing integers, where s ≤ k. Given λ, there is an associated sequence ~ ~ m − 1 ≥ λs+1 > ··· > λm ≥ 0 of strictly decreasing integers defined by requiring that there does not exist any ~ parts λi for which λj +λi = m. In other words, the associated partition is obtained by removing the integers m − λ1; : : : ; m − λs from the sequence m − 1; m − 2;:::; 0. For example, if m = 6, then the partition associated to (6; 4) is (5; 4; 3; 1). The Schubert varieties in OG(k; 2m + 1) are parameterized by pairs (λ, µ), where λ is a strictly decreasing partition of length s and µ m − 1 ≥ µs+1 > µs+2 > ··· > µk ≥ 0 is a subpartition of λ~ (i.e., the parts of µ are a subset of the parts of λ~) of length k − s. We will call such pairs of partitions allowed pairs. Observe that for maximal isotropic Grassmannians OG(m; 2m + 1), the partition µ = λ~ is uniquely deter- mined by the partition λ. Consequently, in the literature it is standard to omit the sequence µ and parametrize Schubert varieties by strict partitions λ. We will find it useful to record the dimensions of all the flag elements where a jump in dimen- sion occurs, so we add µ to the notation. For non-maximal Grassmannians there are several notations in use. The advantage of our notation is that it minimizes the amount of calculation needed to determine the dimensions of the flag elements where a jump in dimension occurs.
Recommended publications
  • The Grassmann Manifold
    The Grassmann Manifold 1. For vector spaces V and W denote by L(V; W ) the vector space of linear maps from V to W . Thus L(Rk; Rn) may be identified with the space Rk£n of k £ n matrices. An injective linear map u : Rk ! V is called a k-frame in V . The set k n GFk;n = fu 2 L(R ; R ): rank(u) = kg of k-frames in Rn is called the Stiefel manifold. Note that the special case k = n is the general linear group: k k GLk = fa 2 L(R ; R ) : det(a) 6= 0g: The set of all k-dimensional (vector) subspaces ¸ ½ Rn is called the Grassmann n manifold of k-planes in R and denoted by GRk;n or sometimes GRk;n(R) or n GRk(R ). Let k ¼ : GFk;n ! GRk;n; ¼(u) = u(R ) denote the map which assigns to each k-frame u the subspace u(Rk) it spans. ¡1 For ¸ 2 GRk;n the fiber (preimage) ¼ (¸) consists of those k-frames which form a basis for the subspace ¸, i.e. for any u 2 ¼¡1(¸) we have ¡1 ¼ (¸) = fu ± a : a 2 GLkg: Hence we can (and will) view GRk;n as the orbit space of the group action GFk;n £ GLk ! GFk;n :(u; a) 7! u ± a: The exercises below will prove the following n£k Theorem 2. The Stiefel manifold GFk;n is an open subset of the set R of all n £ k matrices. There is a unique differentiable structure on the Grassmann manifold GRk;n such that the map ¼ is a submersion.
    [Show full text]
  • 2 Hilbert Spaces You Should Have Seen Some Examples Last Semester
    2 Hilbert spaces You should have seen some examples last semester. The simplest (finite-dimensional) ex- C • A complex Hilbert space H is a complete normed space over whose norm is derived from an ample is Cn with its standard inner product. It’s worth recalling from linear algebra that if V is inner product. That is, we assume that there is a sesquilinear form ( , ): H H C, linear in · · × → an n-dimensional (complex) vector space, then from any set of n linearly independent vectors we the first variable and conjugate linear in the second, such that can manufacture an orthonormal basis e1, e2,..., en using the Gram-Schmidt process. In terms of this basis we can write any v V in the form (f ,д) = (д, f ), ∈ v = a e , a = (v, e ) (f , f ) 0 f H, and (f , f ) = 0 = f = 0. i i i i ≥ ∀ ∈ ⇒ ∑ The norm and inner product are related by which can be derived by taking the inner product of the equation v = aiei with ei. We also have n ∑ (f , f ) = f 2. ∥ ∥ v 2 = a 2. ∥ ∥ | i | i=1 We will always assume that H is separable (has a countable dense subset). ∑ Standard infinite-dimensional examples are l2(N) or l2(Z), the space of square-summable As usual for a normed space, the distance on H is given byd(f ,д) = f д = (f д, f д). • • ∥ − ∥ − − sequences, and L2(Ω) where Ω is a measurable subset of Rn. The Cauchy-Schwarz and triangle inequalities, • √ (f ,д) f д , f + д f + д , | | ≤ ∥ ∥∥ ∥ ∥ ∥ ≤ ∥ ∥ ∥ ∥ 2.1 Orthogonality can be derived fairly easily from the inner product.
    [Show full text]
  • Classification on the Grassmannians
    GEOMETRIC FRAMEWORK SOME EMPIRICAL RESULTS COMPRESSION ON G(k, n) CONCLUSIONS Classification on the Grassmannians: Theory and Applications Jen-Mei Chang Department of Mathematics and Statistics California State University, Long Beach [email protected] AMS Fall Western Section Meeting Special Session on Metric and Riemannian Methods in Shape Analysis October 9, 2010 at UCLA GEOMETRIC FRAMEWORK SOME EMPIRICAL RESULTS COMPRESSION ON G(k, n) CONCLUSIONS Outline 1 Geometric Framework Evolution of Classification Paradigms Grassmann Framework Grassmann Separability 2 Some Empirical Results Illumination Illumination + Low Resolutions 3 Compression on G(k, n) Motivations, Definitions, and Algorithms Karcher Compression for Face Recognition GEOMETRIC FRAMEWORK SOME EMPIRICAL RESULTS COMPRESSION ON G(k, n) CONCLUSIONS Architectures Historically Currently single-to-single subspace-to-subspace )2( )3( )1( d ( P,x ) d ( P,x ) d(P,x ) ... P G , , … , x )1( x )2( x( N) single-to-many many-to-many Image Set 1 … … G … … p * P , Grassmann Manifold Image Set 2 * X )1( X )2( … X ( N) q Project Eigenfaces GEOMETRIC FRAMEWORK SOME EMPIRICAL RESULTS COMPRESSION ON G(k, n) CONCLUSIONS Some Approaches • Single-to-Single 1 Euclidean distance of feature points. 2 Correlation. • Single-to-Many 1 Subspace method [Oja, 1983]. 2 Eigenfaces (a.k.a. Principal Component Analysis, KL-transform) [Sirovich & Kirby, 1987], [Turk & Pentland, 1991]. 3 Linear/Fisher Discriminate Analysis, Fisherfaces [Belhumeur et al., 1997]. 4 Kernel PCA [Yang et al., 2000]. GEOMETRIC FRAMEWORK SOME EMPIRICAL RESULTS COMPRESSION ON G(k, n) CONCLUSIONS Some Approaches • Many-to-Many 1 Tangent Space and Tangent Distance - Tangent Distance [Simard et al., 2001], Joint Manifold Distance [Fitzgibbon & Zisserman, 2003], Subspace Distance [Chang, 2004].
    [Show full text]
  • Arxiv:1711.05949V2 [Math.RT] 27 May 2018 Mials, One Obtains a Sum Whose Summands Are Rational Functions in Ti
    RESIDUES FORMULAS FOR THE PUSH-FORWARD IN K-THEORY, THE CASE OF G2=P . ANDRZEJ WEBER AND MAGDALENA ZIELENKIEWICZ Abstract. We study residue formulas for push-forward in the equivariant K-theory of homogeneous spaces. For the classical Grassmannian the residue formula can be obtained from the cohomological formula by a substitution. We also give another proof using sym- plectic reduction and the method involving the localization theorem of Jeffrey–Kirwan. We review formulas for other classical groups, and we derive them from the formulas for the classical Grassmannian. Next we consider the homogeneous spaces for the exceptional group G2. One of them, G2=P2 corresponding to the shorter root, embeds in the Grass- mannian Gr(2; 7). We find its fundamental class in the equivariant K-theory KT(Gr(2; 7)). This allows to derive a residue formula for the push-forward. It has significantly different character comparing to the classical groups case. The factor involving the fundamen- tal class of G2=P2 depends on the equivariant variables. To perform computations more efficiently we apply the basis of K-theory consisting of Grothendieck polynomials. The residue formula for push-forward remains valid for the homogeneous space G2=B as well. 1. Introduction ∗ r Suppose an algebraic torus T = (C ) acts on a complex variety X which is smooth and complete. Let E be an equivariant complex vector bundle over X. Then E defines an element of the equivariant K-theory of X. In our setting there is no difference whether one considers the algebraic K-theory or the topological one.
    [Show full text]
  • Orthogonal Complements (Revised Version)
    Orthogonal Complements (Revised Version) Math 108A: May 19, 2010 John Douglas Moore 1 The dot product You will recall that the dot product was discussed in earlier calculus courses. If n x = (x1: : : : ; xn) and y = (y1: : : : ; yn) are elements of R , we define their dot product by x · y = x1y1 + ··· + xnyn: The dot product satisfies several key axioms: 1. it is symmetric: x · y = y · x; 2. it is bilinear: (ax + x0) · y = a(x · y) + x0 · y; 3. and it is positive-definite: x · x ≥ 0 and x · x = 0 if and only if x = 0. The dot product is an example of an inner product on the vector space V = Rn over R; inner products will be treated thoroughly in Chapter 6 of [1]. Recall that the length of an element x 2 Rn is defined by p jxj = x · x: Note that the length of an element x 2 Rn is always nonnegative. Cauchy-Schwarz Theorem. If x 6= 0 and y 6= 0, then x · y −1 ≤ ≤ 1: (1) jxjjyj Sketch of proof: If v is any element of Rn, then v · v ≥ 0. Hence (x(y · y) − y(x · y)) · (x(y · y) − y(x · y)) ≥ 0: Expanding using the axioms for dot product yields (x · x)(y · y)2 − 2(x · y)2(y · y) + (x · y)2(y · y) ≥ 0 or (x · x)(y · y)2 ≥ (x · y)2(y · y): 1 Dividing by y · y, we obtain (x · y)2 jxj2jyj2 ≥ (x · y)2 or ≤ 1; jxj2jyj2 and (1) follows by taking the square root.
    [Show full text]
  • Filtering Grassmannian Cohomology Via K-Schur Functions
    FILTERING GRASSMANNIAN COHOMOLOGY VIA K-SCHUR FUNCTIONS THE 2020 POLYMATH JR. \Q-B-AND-G" GROUPy Abstract. This paper is concerned with studying the Hilbert Series of the subalgebras of the cohomology rings of the complex Grassmannians and La- grangian Grassmannians. We build upon a previous conjecture by Reiner and Tudose for the complex Grassmannian and present an analogous conjecture for the Lagrangian Grassmannian. Additionally, we summarize several poten- tial approaches involving Gr¨obnerbases, homological algebra, and algebraic topology. Then we give a new interpretation to the conjectural expression for the complex Grassmannian by utilizing k-conjugation. This leads to two conjectural bases that would imply the original conjecture for the Grassman- nian. Finally, we comment on how this new approach foreshadows the possible existence of analogous k-Schur functions in other Lie types. Contents 1. Introduction2 2. Conjectures3 2.1. The Grassmannian3 2.2. The Lagrangian Grassmannian4 3. A Gr¨obnerBasis Approach 12 3.1. Patterns, Patterns and more Patterns 12 3.2. A Lex-greedy Approach 20 4. An Approach Using Natural Maps Between Rings 23 4.1. Maps Between Grassmannians 23 4.2. Maps Between Lagrangian Grassmannians 24 4.3. Diagrammatic Reformulation for the Two Main Conjectures 24 4.4. Approach via Coefficient-Wise Inequalities 27 4.5. Recursive Formula for Rk;` 27 4.6. A \q-Pascal Short Exact Sequence" 28 n;m 4.7. Recursive Formula for RLG 30 4.8. Doubly Filtered Basis 31 5. Schur and k-Schur Functions 35 5.1. Schur and Pieri for the Grassmannian 36 5.2. Schur and Pieri for the Lagrangian Grassmannian 37 Date: August 2020.
    [Show full text]
  • §4 Grassmannians 73
    §4 Grassmannians 4.1 Plücker quadric and Gr(2,4). Let 푉 be 4-dimensional vector space. e set of all 2-di- mensional vector subspaces 푈 ⊂ 푉 is called the grassmannian Gr(2, 4) = Gr(2, 푉). More geomet- rically, the grassmannian Gr(2, 푉) is the set of all lines ℓ ⊂ ℙ = ℙ(푉). Sending 2-dimensional vector subspace 푈 ⊂ 푉 to 1-dimensional subspace 훬푈 ⊂ 훬푉 or, equivalently, sending a line (푎푏) ⊂ ℙ(푉) to 한 ⋅ 푎 ∧ 푏 ⊂ 훬푉 , we get the Plücker embedding 픲 ∶ Gr(2, 4) ↪ ℙ = ℙ(훬 푉). (4-1) Its image consists of all decomposable¹ grassmannian quadratic forms 휔 = 푎∧푏 , 푎, 푏 ∈ 푉. Clearly, any such a form has zero square: 휔 ∧ 휔 = 푎 ∧ 푏 ∧ 푎 ∧ 푏 = 0. Since an arbitrary form 휉 ∈ 훬푉 can be wrien¹ in appropriate basis of 푉 either as 푒 ∧ 푒 or as 푒 ∧ 푒 + 푒 ∧ 푒 and in the laer case 휉 is not decomposable, because of 휉 ∧ 휉 = 2 푒 ∧ 푒 ∧ 푒 ∧ 푒 ≠ 0, we conclude that 휔 ∈ 훬 푉 is decomposable if an only if 휔 ∧ 휔 = 0. us, the image of (4-1) is the Plücker quadric 푃 ≝ { 휔 ∈ 훬푉 | 휔 ∧ 휔 = 0 } (4-2) If we choose a basis 푒, 푒, 푒, 푒 ∈ 푉, the monomial basis 푒 = 푒 ∧ 푒 in 훬 푉, and write 푥 for the homogeneous coordinates along 푒, then straightforward computation 푥 ⋅ 푒 ∧ 푒 ∧ 푥 ⋅ 푒 ∧ 푒 = 2 푥 푥 − 푥 푥 + 푥 푥 ⋅ 푒 ∧ 푒 ∧ 푒 ∧ 푒 < < implies that 푃 is given by the non-degenerated quadratic equation 푥푥 = 푥푥 + 푥푥 .
    [Show full text]
  • LINEAR ALGEBRA FALL 2007/08 PROBLEM SET 9 SOLUTIONS In
    MATH 110: LINEAR ALGEBRA FALL 2007/08 PROBLEM SET 9 SOLUTIONS In the following V will denote a finite-dimensional vector space over R that is also an inner product space with inner product denoted by h ·; · i. The norm induced by h ·; · i will be denoted k · k. 1. Let S be a subset (not necessarily a subspace) of V . We define the orthogonal annihilator of S, denoted S?, to be the set S? = fv 2 V j hv; wi = 0 for all w 2 Sg: (a) Show that S? is always a subspace of V . ? Solution. Let v1; v2 2 S . Then hv1; wi = 0 and hv2; wi = 0 for all w 2 S. So for any α; β 2 R, hαv1 + βv2; wi = αhv1; wi + βhv2; wi = 0 ? for all w 2 S. Hence αv1 + βv2 2 S . (b) Show that S ⊆ (S?)?. Solution. Let w 2 S. For any v 2 S?, we have hv; wi = 0 by definition of S?. Since this is true for all v 2 S? and hw; vi = hv; wi, we see that hw; vi = 0 for all v 2 S?, ie. w 2 S?. (c) Show that span(S) ⊆ (S?)?. Solution. Since (S?)? is a subspace by (a) (it is the orthogonal annihilator of S?) and S ⊆ (S?)? by (b), we have span(S) ⊆ (S?)?. ? ? (d) Show that if S1 and S2 are subsets of V and S1 ⊆ S2, then S2 ⊆ S1 . ? Solution. Let v 2 S2 . Then hv; wi = 0 for all w 2 S2 and so for all w 2 S1 (since ? S1 ⊆ S2).
    [Show full text]
  • 8. Grassmannians
    66 Andreas Gathmann 8. Grassmannians After having introduced (projective) varieties — the main objects of study in algebraic geometry — let us now take a break in our discussion of the general theory to construct an interesting and useful class of examples of projective varieties. The idea behind this construction is simple: since the definition of projective spaces as the sets of 1-dimensional linear subspaces of Kn turned out to be a very useful concept, let us now generalize this and consider instead the sets of k-dimensional linear subspaces of Kn for an arbitrary k = 0;:::;n. Definition 8.1 (Grassmannians). Let n 2 N>0, and let k 2 N with 0 ≤ k ≤ n. We denote by G(k;n) the set of all k-dimensional linear subspaces of Kn. It is called the Grassmannian of k-planes in Kn. Remark 8.2. By Example 6.12 (b) and Exercise 6.32 (a), the correspondence of Remark 6.17 shows that k-dimensional linear subspaces of Kn are in natural one-to-one correspondence with (k − 1)- n− dimensional linear subspaces of P 1. We can therefore consider G(k;n) alternatively as the set of such projective linear subspaces. As the dimensions k and n are reduced by 1 in this way, our Grassmannian G(k;n) of Definition 8.1 is sometimes written in the literature as G(k − 1;n − 1) instead. Of course, as in the case of projective spaces our goal must again be to make the Grassmannian G(k;n) into a variety — in fact, we will see that it is even a projective variety in a natural way.
    [Show full text]
  • Grassmannians Via Projection Operators and Some of Their Special Submanifolds ∗
    GRASSMANNIANS VIA PROJECTION OPERATORS AND SOME OF THEIR SPECIAL SUBMANIFOLDS ∗ IVKO DIMITRIC´ Department of Mathematics, Penn State University Fayette, Uniontown, PA 15401-0519, USA E-mail: [email protected] We study submanifolds of a general Grassmann manifold which are of 1-type in a suitably defined Euclidean space of F−Hermitian matrices (such a submanifold is minimal in some hypersphere of that space and, apart from a translation, the im- mersion is built using eigenfunctions from a single eigenspace of the Laplacian). We show that a minimal 1-type hypersurface of a Grassmannian is mass-symmetric and has the type-eigenvalue which is a specific number in each dimension. We derive some conditions on the mean curvature of a 1-type hypersurface of a Grassmannian and show that such a hypersurface with a nonzero constant mean curvature has at most three constant principal curvatures. At the end, we give some estimates of the first nonzero eigenvalue of the Laplacian on a compact submanifold of a Grassmannian. 1. Introduction The Grassmann manifold of k dimensional subspaces of the vector space − Fm over a field F R, C, H can be conveniently defined as the base man- ∈{ } ifold of the principal fibre bundle of the corresponding Stiefel manifold of F unitary frames, where a frame is projected onto the F plane spanned − − by it. As observed already in 1927 by Cartan, all Grassmannians are sym- metric spaces and they have been studied in such context ever since, using the root systems and the Lie algebra techniques. However, the submani- fold geometry in Grassmannians of higher rank is much less developed than the corresponding geometry in rank-1 symmetric spaces, the notable excep- tions being the classification of the maximal totally geodesic submanifolds (the well known results of J.A.
    [Show full text]
  • Essential Concepts of Projective Geomtry
    Essential Concepts of Projective Geomtry Course Notes, MA 561 Purdue University August, 1973 Corrected and supplemented, August, 1978 Reprinted and revised, 2007 Department of Mathematics University of California, Riverside 2007 Table of Contents Preface : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : i Prerequisites: : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : :iv Suggestions for using these notes : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : :v I. Synthetic and analytic geometry: : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : :1 1. Axioms for Euclidean geometry : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 1 2. Cartesian coordinate interpretations : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 2 2 3 3. Lines and planes in R and R : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 3 II. Affine geometry : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 7 1. Synthetic affine geometry : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 7 2. Affine subspaces of vector spaces : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 13 3. Affine bases: : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : :19 4. Properties of coordinate
    [Show full text]
  • A Guided Tour to the Plane-Based Geometric Algebra PGA
    A Guided Tour to the Plane-Based Geometric Algebra PGA Leo Dorst University of Amsterdam Version 1.15{ July 6, 2020 Planes are the primitive elements for the constructions of objects and oper- ators in Euclidean geometry. Triangulated meshes are built from them, and reflections in multiple planes are a mathematically pure way to construct Euclidean motions. A geometric algebra based on planes is therefore a natural choice to unify objects and operators for Euclidean geometry. The usual claims of `com- pleteness' of the GA approach leads us to hope that it might contain, in a single framework, all representations ever designed for Euclidean geometry - including normal vectors, directions as points at infinity, Pl¨ucker coordinates for lines, quaternions as 3D rotations around the origin, and dual quaternions for rigid body motions; and even spinors. This text provides a guided tour to this algebra of planes PGA. It indeed shows how all such computationally efficient methods are incorporated and related. We will see how the PGA elements naturally group into blocks of four coordinates in an implementation, and how this more complete under- standing of the embedding suggests some handy choices to avoid extraneous computations. In the unified PGA framework, one never switches between efficient representations for subtasks, and this obviously saves any time spent on data conversions. Relative to other treatments of PGA, this text is rather light on the mathematics. Where you see careful derivations, they involve the aspects of orientation and magnitude. These features have been neglected by authors focussing on the mathematical beauty of the projective nature of the algebra.
    [Show full text]